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Reacting to Unexpected Events and Communicating in Spite of Mixed Ontologies

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MICAI 2002: Advances in Artificial Intelligence (MICAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2313))

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Abstract

We describe our experiences in building agents (and their environment) that could solve important problems in agent to agent communication, in manners that are not pre-programmed or reactive: (1) Two agents may have different ontologies. We do not assume that agents share the same classification of concepts: they have each one its own ontology or concept categorization. Agents can not exchange concepts: they have to exchange symbols (words of natural language), which the receiving agent has to map to the intended concept, for interaction to be meaningful. (2) The model for interaction. Our agents interact through scripts or frames having roles, resources and prerequisites. Agents select which roles in what scripts to play, in order to satisfy their purposes. (3) Unexpected events happen and throw the agents out of their current plan or execution. (4) Planning is needed in this changing world.

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References

  1. Dominguez, C.: Handling Infinite Unexpected Events in Agents Interactions. M. Sc. thesis in Computer Science, CIC-IPN Mexico City (2002).

    Google Scholar 

  2. Finnin, T.; Weber, J.; Widerhold, G., et al. Specification of the KQML Agent Communication Language (draft). The DARPA Knowledge Sharing Initiative External Interfaces Working Group (1993)

    Google Scholar 

  3. Gelbukh, A, Sidorov, G., and Guzman, A.: A Method Describing Document Contents through Topic Selection. Lecture notes in Workshop on String Processing and Information Retrieval, (IEEE Computer Society, Los Alamitos, CA) Cancun, Mexico (1999) 73–80

    Google Scholar 

  4. Gelbukh, A, Sidorov, G., and Guzman, A.: Document Comparison with a Weighted Topic Hierarchy. DEXA-99. Lecture Notes in 10-th International Conference on Database and Expert System Applications, Workshop on Document Analysis and Understanding for Document Databases, (IEEE Computer Society, Los Alamitos, CA) Florence, Italy (1999) 566–570

    Google Scholar 

  5. Gray, Robert S.: Agent Tcl. In Dr. Dobb’s Journal, March (1997)

    Google Scholar 

  6. Guha, R.V. and Lenat, D.: Enabling Agents to Work Together CACM, No. 37 (1994) 7

    Google Scholar 

  7. Guzman, A.: Project “Access to Unfamiliar Data Bases.” Final Report, IDASA, Mexico City. (1994).

    Google Scholar 

  8. Guzman, A.: ANASIN, Intelligent Analyser and Synthesiser of Information. Technical Report: User Manual. IDASA. Mexico City (1994b).

    Google Scholar 

  9. Guzman, A.: Finding the Main Themes in a Spanish Document. Journal Expert Systems with Applications, Vol. 14, No. 1, 2, (1998) 139–148

    Article  Google Scholar 

  10. Guzman, A., Olivares, J., Demetrio, A., and Dominguez, C.: Interaction of Purposeful Agents that Use Different Ontologies. In: Osvaldo Cairo, Enrique Sucar, Francisco J. Cantu (eds.): Lecture Notes in Artificial Intelligence 1793, MICAI 2000: Advances in A. I. Springer Verlag, Heidelberg (2000) 557–573.

    Chapter  Google Scholar 

  11. Huhns, M. N.; Singh, M. P. and Ksiezyk T.: Global Information Management Via Local Autonomous Agents. In: M. N. Huhns, Munindar P. Singh, (eds.): Readings in Agents, Morgan Kauffmann Publishers, Inc. San Francisco, CA (1997)

    Google Scholar 

  12. Huhns, M. and Singh, M.: Managing Heterogeneous Transaction Workflows with Cooperating Agents. In: Nicholas R. Jennings and Michael J. Wooldridge, (eds.): Agent Technology: Foundations, Applications and Markets, Springer-Verlag, Heidelberg (1998) 219–240

    Google Scholar 

  13. Lenat, D. and Guha, R.: Building Large Knowledge-Based Systems. Reading, MA: Addison Wesley., Reading, MA. (1989)

    Google Scholar 

  14. Minsky, Marvin: The Society of Mind. Simon & Schuster Inc. (1985)

    Google Scholar 

  15. Olivares, Jesus: An Interaction Model between Purposeful Agents with E-Commerce Examples. In Ph. D. Thesis. Defended in November 2001. CIC-IPN, Mexico City. (2002).

    Google Scholar 

  16. Wegner, Peter: In Tutorial Notes: Models and Paradigms of Interaction, Department of Computer Science, Brown University, USA, September (1995)

    Google Scholar 

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Guzmán, A., Domínguez, C., Olivares, J. (2002). Reacting to Unexpected Events and Communicating in Spite of Mixed Ontologies. In: Coello Coello, C.A., de Albornoz, A., Sucar, L.E., Battistutti, O.C. (eds) MICAI 2002: Advances in Artificial Intelligence. MICAI 2002. Lecture Notes in Computer Science(), vol 2313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46016-0_40

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  • DOI: https://doi.org/10.1007/3-540-46016-0_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43475-7

  • Online ISBN: 978-3-540-46016-9

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